ParamHelpers (1.13)
Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning.
https://paramhelpers.mlr-org.com
https://github.com/mlr-org/ParamHelpers
http://cran.r-project.org/web/packages/ParamHelpers
Functions for parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters can be described (type, constraints, defaults, etc.), combined to parameter sets and can in general be programmed on. A useful OptPath object (archive) to log function evaluations is also provided.
Maintainer:
Jakob Richter
Author(s): Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Jakob Richter [cre, aut] (<https://orcid.org/0000-0003-4481-5554>), Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Pascal Kerschke [aut]
License: BSD_2_clause + file LICENSE
Uses: backports, BBmisc, checkmate, fastmatch, akima, ggplot2, lhs, plyr, testthat, GGally, emoa, gridExtra, reshape2, eaf, irace, covr
Reverse depends: cmaesr, ecr, mlr, mlrCPO, mlrMBO, randomsearch, smoof
Reverse suggests: ChemoSpec2D, dynparam, flacco, llama, OpenML
Reverse enhances: liquidSVM
Released 3 days ago.
14 previous versions
- ParamHelpers_1.12. Released 11 months ago.
- ParamHelpers_1.11. Released over 1 year ago.
- ParamHelpers_1.10. Released almost 3 years ago.
- ParamHelpers_1.9. Released about 3 years ago.
- ParamHelpers_1.8. Released over 3 years ago.
- ParamHelpers_1.7. Released almost 4 years ago.
- ParamHelpers_1.6. Released about 4 years ago.
- ParamHelpers_1.5. Released almost 5 years ago.
- ParamHelpers_1.4. Released about 5 years ago.
- ParamHelpers_1.3. Released over 5 years ago.
- ParamHelpers_1.2. Released over 5 years ago.
- ParamHelpers_1.1-36. Released over 6 years ago.
- ParamHelpers_1.0-55. Released over 7 years ago.
- ParamHelpers_1.0-54. Released over 7 years ago.
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